Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Hopper Architecture
| Specification | NVIDIA GB200 | NVIDIA H200 |
|---|---|---|
| Architecture | Blackwell | Hopper |
| Release Year | 2024 | 2023 |
| VRAM | 192 GB+36.2% | 141 GB |
| Memory Type | HBM3e | HBM3e |
| Memory Bandwidth | 8000 GB/s+66.7% | 4800 GB/s |
| FP32 Performance | 90 TFLOPS+34.3% | 67 TFLOPS |
| FP16 Performance | 180 TFLOPS+34.3% | 134 TFLOPS |
| INT8 Performance | 3600 TOPS+34.3% | 2680 TOPS |
| Tensor Cores | 18432 | 16896 |
| CUDA Cores | N/A | 16896 |
| TDP | 1000W | 700W |
| Form Factor | Superchip | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $3.75+66.7% | $2.25 |
Single-precision floating-point performance for general compute workloads
NVIDIA GB200 is 34.3% faster
Half-precision performance optimized for deep learning training
NVIDIA GB200 is 34.3% faster
Integer performance for efficient model inference and deployment
NVIDIA GB200 is 34.3% faster
Data transfer speed between GPU and memory
NVIDIA GB200 is 66.7% faster
NVIDIA GB200
NVIDIA GB200
NVIDIA H200
NVIDIA H200
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